Sharon Zhou Profile picture
Building the future of LLMs | Cofounder & CEO, @LaminiAI | Prev: CS Faculty & PhD @Stanford. Product @Google. @Harvard | @MIT 35 under 35. Angel investor.
Apr 28, 2023 6 tweets 5 min read
I’m super excited to announce @LaminiAI, the LLM engine that gives every developer the superpowers that took the world from GPT-3 to ChatGPT! We make it easy to rapidly train custom LLMs from @OpenAI @EleutheraI @cerebras @databricks @huggingface @Meta lamini.ai/blog/introduci… 🧵 Image With @LaminiAI:
✅Your LLM outperforms general-purpose models on your specific use case
✅You own the model, weights and all, not us
✅Your data can build you an AI moat
✅Any developer can do it today in just a few lines of code
✅Commercial-use-friendly with a CC-BY license Image
Sep 6, 2022 6 tweets 4 min read
I really wanted to illustrate long stories with Stable Diffusion! So, hacked together this pipeline:

Long text ->
GPT-3 suggests illustration ideas ->
GPT-3 translates from English to "prompt-English" ->
Stable Diffusion outputs images

Open source 👇🏿
github.com/sharonzhou/lon… #stablediffusion #StableDiffusionDemo #aiart #AI #midjourneyAi #midjourney #dalle #dalle2 #gpt3
Jun 29, 2022 11 tweets 4 min read
The OpenAI Minecraft paper is a great push to getting AI to work in Photoshop, Figma, or any software product — using just the keyboard & mouse, like a person would.

Steps in the paper, explained 🧵

1/
openai.com/blog/vpt/ 1. First, hire people to play Minecraft, who are OK at it. Record their screen and keyboard & mouse strokes. This costs $2k for 2k hrs of video in total.

This is your small dataset.

2/
Jan 15, 2021 17 tweets 6 min read
Excited to share our #ICLR2021 paper w/ CS & math depts @Stanford 🎊

Evaluating the Disentanglement of Deep Generative Models through Manifold Topology!

w/ @ericzelikman Fred Lu @AndrewYNg Gunnar Carlsson @StefanoErmon. Acknowledging @torbjornlundh Samuel Bengmark.

Thread 🧵 Before I start: camera-ready 📸 & math-inclined R5 burn 🔥 are here
openreview.net/forum?id=djwS0…

Huge appreciation for all reviewers esp R5 in making our work better.

My goal in 🧵: Explain our work in my simplest terms to you. Don't worry if you get lost, it's admittedly dense :)
Jan 13, 2021 5 tweets 3 min read
Lasting collaborations can come from transient places.

One of my collaborations came out of a train ride 🚊 where I traded notes with a mathematician, en route to Stockholm. Followed by making these corgis happen.

Story 🧵👇🏿 Image On the 4 hr 🚊ride, I talked about generative models and neural networks. He talked about fractals and Mobius transformations — and even how all this ties into making better compression socks 🧦.

Hours 1-2: Just a pen and a few loose pages.